Top Artificial Intelligence Jobs

Partner with client firms to discover and automate high-value workflows using Intapp Celeste. Map workflows to agents, playbooks, and semantic layers; codify firm methods; drive adoption through training and onboarding; enable scalable expansion and inform product strategy with real-world experience.

Lead AI integration, automation, and software stack rollouts across multi-location clinics. Build AI agents, API-driven workflows, and ad/content automation; manage EMR/CRM integrations; run digital marketing operations and on-site brand activations. Project-manage system deployments and optimize automation to reduce manual work and scale patient acquisition.

Design, build, test, and deploy enterprise .NET web applications; integrate generative AI features using AWS Bedrock and Anthropic Claude; use AI-assisted coding tools; maintain CI/CD pipelines in Azure DevOps/TFS; optimize backend/data access and collaborate with architects, PMs, and analysts on solution delivery.

Develop and productionize AI systems for code understanding, vulnerability detection, and agentic security tools. Implement research end-to-end, build evaluation and training infrastructure, run experiments and benchmarks, and integrate AI capabilities into the Corridor platform while collaborating with product and engineering.

Build and scale full-stack features for the Insights practice management platform using ReactJS, Python, and PostgreSQL. Improve reliability, observability, performance, and availability; collaborate with infra, backend, product, and design; own multi-month projects, conduct code reviews, and drive architectural improvements to support thousands of practices.

Lead architecture and development of large-scale agentic systems integrating LLMs into production applications. Define LLM integration strategy, drive cognitive automation roadmap, establish org-wide engineering standards for scalable, observable distributed ML systems, and provide technical leadership across teams and executives.

Own product direction for Element AI, work daily with engineering to define and ship features, map cross-business workflows, prioritize high-value opportunities, and turn priorities into clear buildable specs while partnering with design and internal AI subject-matter experts.

Provide first‑contact remote IT support for company employees (85% general tech support, 15% Tier 1 enterprise AI tool support). Troubleshoot, document, and resolve device, software, and access issues; escalate when needed; assist with AI account provisioning, FAQs, and runbook-driven resolutions. Support macOS/iOS and mobile devices, coordinate with vendors, and contribute to knowledge base and onboarding/offboarding workflows.

The Senior AI Engineer designs and deploys AI agents and workflows, collaborating across teams to deliver reliable AI solutions that drive business outcomes.

Design, build, and maintain batch and streaming data pipelines on GCP (BigQuery, dbt, Airflow, Pub/Sub). Productionize ML workflows (training, inference, CI/CD) using Cloud Run, GKE, and Vertex AI. Support real-time inference, RAG/LLM assistants, graph-based recommendations, and model monitoring. Collaborate with cross-functional teams to deliver scalable, reliable data products and observability for downstream ML and analytics.

The AI Engineer develops agent-based systems for automating workflows across various departments, working with AWS and AI frameworks. Responsibilities include building integrations, enhancing CodeAI capabilities, and supporting production systems.

Build and maintain a provider-agnostic LLM interoperability layer: transform OpenAI/Anthropic spec calls to other provider formats, implement session management, support provider features (skills, batching), and improve developer experience via the Python SDK. Work closely with founders and engage with users to ship production features.

Hands-on Controller responsible for end-to-end accounting, month-end close, financial reporting, controls, cash/banking/payroll/tax coordination, AP/AR and multi-entity reconciliations. Build and document finance workflows, manage a Senior Accountant, and progressively automate and govern work through an AI finance operator (Claire). Deliver reliable closes, maintain integrity/compliance, reduce manual work, and evolve finance systems and controls.

Research and prototype AI/ML methods (GenAI, RL, GNNs, CNNs, LLMs) applied to VLSI CAD to automate ASIC/SoC design and implementation. Collaborate with academia and cross-functional teams to evaluate and pilot automation on real designs, improving power, performance, area, and quality.

Develop and prototype AI/ML-driven automation for ASIC/SoC design and implementation, collaborating with academia and cross-functional teams to apply GenAI, RL, GNNs and CNNs to VLSI CAD flows, pilot solutions on real designs, and improve power, performance, area, and quality.

Architect and build production-grade agentic AI systems and platforms using Google ADK, MCP, LangChain/LangGraph, and AlloyDB. Develop agent harnesses, RAG/GraphRAG pipelines, vector retrieval and memory stores, Terraform-based GCP infrastructure, CI/CD for model deployments, and enterprise security and governance for sessioned agent interactions.

The role involves engaging with AI-native companies to optimize their AI platforms using NVIDIA technologies, focusing on architecture, model performance, and collaboration with technical teams.

Lead design, development, and production deployment of large-scale distributed AI applications (LLMs, NLP, speech) across voice and messaging channels. Build multi-agent systems, ensure reliability and scalability, collaborate with product and data science, and implement cloud-native, microservice-based solutions using CI/CD, IaC, container orchestration, and monitoring.

The engineer will deploy Okta's agent security solutions at customer locations, collaborate with teams, and ensure agent identity and security protocols are met.

Develop and maintain scalable cloud-native web, mobile, API, and data products; migrate services to public cloud; implement CI/CD and test automation; contribute to Agile teams, troubleshoot production issues, and promote secure, high-quality software practices.

Lead Tipalti's AI-driven sales transformation by owning roadmap, configuring and operating AI-powered sales tools, designing interoperable workflows, coordinating cross-functional delivery, measuring adoption and revenue impact, and iterating solutions with field and data teams.

Lead end-to-end predictive modeling initiatives, from problem formulation to validation and deployment readiness. Perform diagnostic, predictive, and prescriptive analytics, build reusable tools, set data quality standards, mentor junior staff, partner with leaders to translate business needs into analytic solutions, and communicate findings to drive decisions.

Design and pilot AI-native, architecture-scale solutions and agentic workflows to modernize and rearchitect systems. Assess customer systems, recommend technical strategies, prototype architectures, coach engineering teams, and share practices via publications and presentations.

Build and maintain scalable ML and generative AI platforms and backend infrastructure; deploy and manage production applications; create services exposing ML/AI products; implement RAG solutions and vector databases; integrate LLM orchestration and foundation model APIs; collaborate cross-functionally and mentor teammates.

Lead architecture-scale modernization and design efforts using AI to create agentic workflows and reference architectures. Assess customer systems, recommend technical solutions, prototype architectures, coach engineering teams, and measure transitions while sharing findings via publications and presentations.